AI Research Engineer Jobs at Scale AI with Visa Sponsorship
AI Research Engineer jobs at Scale AI advance data labeling, model evaluation, and RLHF infrastructure at the frontier of AI development. The company has a consistent track record of sponsoring work visas for this function, covering multiple pathways for both early-career and experienced researchers.
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Get Access To All JobsINTRODUCTION
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRS, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
YOUR ROLE AND RESPONSIBILITIES
- Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.
- Research cutting edge algorithms to integrate directly into our training stack.
- Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.
BASIC QUALIFICATIONS
- 1-3 years of building with LLMs in a production environment
- Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
- PhD or Masters in Computer Science or a related field
COMPENSATION
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.
- You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800—$331,000 USD
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
INTRODUCTION
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRS, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!
YOUR ROLE AND RESPONSIBILITIES
- Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers.
- Research cutting edge algorithms to integrate directly into our training stack.
- Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.
BASIC QUALIFICATIONS
- 1-3 years of building with LLMs in a production environment
- Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
- Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
- PhD or Masters in Computer Science or a related field
COMPENSATION
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.
- You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800—$331,000 USD
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
See all 33+ AI Research Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding AI Research Engineer Jobs at Scale AI
Align your research portfolio to Scale's work
Scale AI's AI Research Engineer roles center on reinforcement learning from human feedback, model evaluation, and data pipeline quality. Frame your published work, projects, or thesis around these areas before applying, not after you get the interview.
Verify your OPT or CPT timeline before applying
If you're on F-1 status, confirm your OPT start date and the 60-day cap on unemployment. Scale AI's hiring cycles can run six to ten weeks, so apply early enough that your authorization covers the full onboarding window.
Target roles that specify specialty occupation criteria
For H-1B sponsorship, USCIS requires the position to qualify as a specialty occupation. Look for Scale AI job postings that explicitly require a bachelor's degree or higher in a directly related field like computer science, machine learning, or statistics.
Understand Scale AI's LCA obligations before negotiating
Every H-1B and E-3 offer requires a certified Labor Condition Application filed with the DOL. The LCA locks in a prevailing wage for your role and location, so research DOL wage levels for AI Research Engineers in Scale AI's office locations before discussing compensation.
Use Migrate Mate to filter Scale AI's open AI Research Engineer roles
Browsing general job boards won't show you which postings are open to sponsored candidates. Use Migrate Mate to filter AI Research Engineer openings at Scale AI by visa type, so you're only spending time on roles where your immigration situation is already accounted for.
Prepare your EB-2 or EB-3 conversation early in the offer stage
Scale AI sponsors EB-2 and EB-3 Green Card pathways for this function. Ask your recruiter about the PERM labor certification timeline during offer negotiation, not after you've started, so you understand when the process typically begins for engineers at your level.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for AI Research Engineers?
Yes, Scale AI sponsors H-1B visas for AI Research Engineers. The H-1B requires the role to qualify as a specialty occupation, which AI Research Engineer positions at Scale AI consistently meet given the degree requirements in fields like computer science or machine learning. Your employer files the petition with USCIS, and you're subject to the annual H-1B cap and lottery unless you qualify for a cap-exempt filing.
Which visa types are commonly used for AI Research Engineer roles at Scale AI?
Scale AI sponsors several visa categories for this function, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current students, J-1 visa for exchange visitors, and EB-2 or EB-3 immigrant visas for permanent residence pathways. The right category depends on your nationality, educational background, and where you are in your career.
How do I apply for AI Research Engineer jobs at Scale AI?
You can find and apply for AI Research Engineer positions at Scale AI through Migrate Mate, which filters open roles by visa sponsorship type so you can confirm your immigration situation fits before applying. When you apply, expect a technical screen focused on machine learning fundamentals, followed by a research presentation or coding assessment, and a final loop with the engineering and research teams.
What qualifications does Scale AI expect for AI Research Engineer roles?
Scale AI typically expects a master's degree or PhD in computer science, machine learning, or a related quantitative field for AI Research Engineer positions, along with hands-on experience in model training, evaluation, or data quality research. Familiarity with reinforcement learning from human feedback, large language model fine-tuning, or annotation pipeline design gives candidates a practical edge in the interview process.
How do I time my visa sponsorship process when joining Scale AI?
Timing depends on your current status. F-1 OPT holders should confirm their remaining work authorization covers Scale AI's full hiring and onboarding timeline, which can take two to three months. H-1B transfers from another employer can begin on day one under portability rules if a petition is filed promptly. For new H-1B filings, USCIS standard processing runs three to five months, with premium processing available to expedite to around 15 business days.